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    • 2019-01-07 09:40:31
    • Article ID: 706055

    Top 10 Discoveries of 2018

    Every year, the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory compiles a list of the biggest advances made by the Lab’s staff scientists, engineers, and visiting researchers. From uncovering mysteries of the universe to building better batteries, here, in no particular order, are our picks for the top 10 discoveries of 2018.

    Small Drops of Perfect Fluid

    Nuclear physicists analyzing data from the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC)—a DOE Office of Science user facility for nuclear physics research at Brookhaven Lab—published additional evidence that collisions of miniscule projectiles with gold nuclei create tiny specks of the perfect fluid that filled the early universe. The ability to create such tiny specks of the primordial soup, known as quark-gluon plasma, could offer insight into the essential properties of this remarkable form of matter and the strong force interactions that hold quarks and gluons together in the visible matter that makes up our world today.

    Key Calculation Related to Neutron Lifetime

    Brookhaven scientists played a central role in developing simulations that contributed to the highest-precision calculation of a fundamental property of neutrons known as the axial coupling. This quantity can be used to more accurately predict how long neutrons are expected to “live,” which is important for understanding how atomic nuclei formed after the “Big Bang” and how the relative abundance of atoms like hydrogen and helium could affect the formation of future stars. The simulations provided input to complex calculations that were run on some of the world’s most powerful supercomputers by an international team that included scientists from several DOE national laboratories.

    Unexplored Territory in Superconductivity Search

    Scientists mapping out the quantum characteristics of superconductors—materials that conduct electricity with no energy loss—used tools at Brookhaven’s new OASIS laboratory to uncover previously inaccessible details of one commonly studied superconductor. The OASIS laboratory allows scientists to study these materials under precisely controlled conditions. The new data includes signals of what happens when superconductivity vanishes under somewhat less-complex conditions than in previously mapped regions of the “phase diagram.” This knowledge might give insight into the essential conditions for triggering superconductivity, and how this promising property might be harnessed for energy-saving applications.

    Single-Atom Catalysts for Clean Energy and Environmental Remediation

    To optimize the efficiency of catalysts—substances that initiate or speed up chemical reactions—scientists have started to break them down into single atoms, increasing their surface area and enhancing their reactive properties. In 2018, Brookhaven scientists discovered several new, single-atom catalysts that break down environmental pollutants and produce clean energy. Two studies identified single-atom catalysts that break down carbon dioxide into building blocks for clean energy—one catalyst made from single nickel atoms, a cheap and abundant material, and one catalyst that reacts in response to sunlight. A third study identified a single-atom catalyst for breaking carbon-fluorine bonds, one of the strongest known chemical bonds and one that is found in polyfluoroalkyl substances, an environmental contaminant widely detected around the world.  

    From Face Recognition to Phase Recognition

    A team including chemists from Brookhaven Lab used an approach analogous to facial-recognition technology to track atomic-scale rearrangements relevant to understanding phase changes, catalytic reactions, and more. The team trained a neural network to recognize features in a material’s x-ray absorption spectrum that are sensitive to the arrangement of atoms at a very fine scale. This method helped reveal details of the atomic-scale rearrangements iron undergoes during an important but poorly understood phase change. The technique can be used to track the subtle atomic-scale shifts that occur at intermediate stages in chemical reactions, and may help scientists design molecules to speed up or direct the reactions they want to produce useful products.

    Longer Lasting Batteries

    By combining electron and x-ray imaging techniques at multiple Brookhaven facilities, scientists made new breakthroughs in the quest to improve lithium-ion batteries—the most common type of battery found in home electronics and a promising solution for grid-scale energy storage. In one study, scientists witnessed, for the first time, how lithium ions move inside individual nanoparticles in batteries, uncovering a surprising behavior and significantly improving scientists’ understanding of how such batteries work. In a second study, scientists developed a new cathode material that could triple the capacity limits of traditional lithium-ion batteries. The results of these studies could help technology companies develop batteries that charge faster and last longer.

    Biochemistry Boosts Plant-Oil Production

    Brookhaven biochemists made several discoveries that could help boost plants’ production of oil to be used as a biofuel or a feedstock for making other useful chemicals. One study identified signals that normally put the brakes on oil production. Disabling these biomolecular brakes could push oil production into high gear. In a second study, the scientists worked out the details of how certain sugar-sensing molecules help regulate the production of oil in plants. They used a fluorescent dye to track molecular interactions and discovered how a previously unknown intermediate molecule helps keep oil production cranking when lots of sugar is around. Understanding these molecular details could lead to new ways to get plants to prioritize the production of oil.

    Computational Advances for Medical Applications

    Computational scientists at Brookhaven have made new advances in machine learning and software design that will help medical professionals provide better treatments to patients. In one study, researchers used machine learning models to diagnose Alzheimer’s disease with 98% accuracy, as well as mild cognitive impairment, a precursor to Alzheimer’s, with 84% accuracy. The finding could help medical professionals diagnose Alzheimer’s at an earlier stage, and therefore delay the progression of the disease significantly. In a second study, computational scientists developed a new software framework that can rapidly evaluate efficacy of new drugs for a variety of diseases. By calculating how strongly compounds bind to target molecules, the software could improve the speed and accuracy of drug discovery in the pharmaceutical industry, as well as individual patient outcomes in clinical settings.

    Precision Prediction of Muon ‘Wobble’

    A team of theoretical physicists released the most precise prediction of how subatomic particles called muons—heavy cousins of electrons—“wobble” off their path in a powerful magnetic field. The calculations take into account how muons interact with all other known particles through three of nature’s four fundamental forces (the strong nuclear force, the weak force, and electromagnetism) while reducing the greatest source of uncertainty in the prediction. The results come just in time for the start of a new experiment measuring the wobble now underway at Fermilab, which should help establish whether a discrepancy between experiment and theory observed at an earlier Brookhaven version of the experiment still stands.

    Engineering New Pathways for Self-Assembled Nanostructures

    Brookhaven researchers helped investigate how “self-assembly”—when molecules are designed to spontaneously come together to form a desired structure or pattern—can be exploited to engineer a nanostructure in a block copolymer, a well-studied and versatile class of self-assembling materials. The scientists used a very specific set of steps dubbed “pathway engineering”—a new approach developed at Brookhaven—to yield self-assembled patterns with long-range nanoscale order in a block copolymer thin film. New techniques like this one, which bridge between the nanoscale and the macroscale, provide useful tools for synthesis of advanced materials with tailored properties.

    Brookhaven National Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.

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    The Spintronics Technology Revolution Could Be Just a Hopfion Away

    The Spintronics Technology Revolution Could Be Just a Hopfion Away

    A research team co-led by Berkeley Lab has created and observed quasiparticles called 3D hopfions at the nanoscale (billionths of a meter) in a magnetic system. The discovery could advance high-density, high-speed, low-power, yet ultrastable magnetic memory "spintronics" devices.

    Field guides: Argonne scientists bolster evidence of undiscovered particles or forces in Muon g-2 experiment

    Field guides: Argonne scientists bolster evidence of undiscovered particles or forces in Muon g-2 experiment

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    Powerful polymers: ORNL study provides new insights into N95's COVID-19 filter efficiency

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    Caught in the act: New data about COVID-19 virus's functions could aid in treatment designs

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    Less than a nanometer thick, stronger and more versatile than steel

    Less than a nanometer thick, stronger and more versatile than steel

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    Story Tips: Mighty Mo Material, Fueling Retooling, Goods on the Move, Doubling Concrete and Batteries Passport

    Story Tips: Mighty Mo Material, Fueling Retooling, Goods on the Move, Doubling Concrete and Batteries Passport

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    This hydrogen fuel machine could be the ultimate guide to self improvement

    This hydrogen fuel machine could be the ultimate guide to self improvement

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    April Snapshots

    April Snapshots

    Science Snapshots from Berkeley Lab: X-rays accelerate battery R&D; infrared microscopy goes off grid; substrates support 2D tech

    Quantum material's subtle spin behavior proves theoretical predictions

    Quantum material's subtle spin behavior proves theoretical predictions

    Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy's Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.

    Research confirms ingredient in household cleaner could improve fusion reactions

    Research confirms ingredient in household cleaner could improve fusion reactions

    Research led by PPPL scientists provides new evidence that particles of boron, the main ingredient of Borax household cleaner, can coat internal components of doughnut-shaped plasma devices known as tokamaks and improve the efficiency of the fusion reactions.


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    Department of Energy to Provide $25 Million toward Development of a Quantum Internet

    Today the U.S. Department of Energy (DOE) announced a plan to provide $25 million for basic research toward the development of a quantum internet.

    Department of Energy to Provide $5 Million to Advance Workforce Development for High Energy Physics Instrumentation

    Today, the U.S. Department of Energy (DOE) announced plans to provide $5 million to support a DOE traineeship program to address workforce needs in high energy physics instrumentation.

    DOE Awards $110 Million to Small Businesses Pursuing Scientific, Clean Energy, and Climate Solutions

    The U.S. Department of Energy (DOE) today announced awards totaling $110 million for diverse small businesses working on scientific, clean energy, and climate solutions for the American people.

    Teachers Invited to Participate in Virtual Science Activities Night

    Teachers Invited to Participate in Virtual Science Activities Night

    Elementary and middle school teachers are invited to register now to participate in the annual Virginia Region II Teacher Night hosted by the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility on April 14, 2021. The fully virtual event will allow educators to see demonstrations of new methods for teaching physical science concepts and safely meet and interact with their colleagues, all while they pick up one recertification point from the comfort of their own homes. Advance registration is required, and the event is open to all upper elementary and middle school teachers of physical science.

    DOE Announces $29 Million for Ultramodern Data Analysis Tools

    The U.S. Department of Energy (DOE) today announced $29 million to develop new tools to analyze massive amounts of scientific information, including artificial intelligence, machine learning, and advanced algorithms.

    Argonne's 2021 Maria Goeppert Mayer Fellows bring new energy, promise to their fields

    Argonne's 2021 Maria Goeppert Mayer Fellows bring new energy, promise to their fields

    The Department of Energy's Argonne National Laboratory is proud to welcome five new FY21 Maria Goeppert Mayer Fellows to campus, each chosen for their incredible promise in their respective fields.

    DOE Announces $54 Million for Microelectronics Research to Power Next-Generation Technologies

    The U.S. Department of Energy (DOE) today announced up to $54 million in new funding for the agency's National Laboratories to advance basic research in microelectronics. Microelectronics are a fundamental building block of modern devices such as laptops, smartphones, and home appliances, and hold the potential to power innovative solutions to challenges like the climate crisis and national security.

    Department of Energy to Provide $12 Million for Research on Advanced Networking

    Today, the U.S. Department of Energy (DOE) announced plans to provide up to $12 million for basic research on advanced 5G and quantum networking. Our modern life has been transformed by wireless and cellular networks, creating a world where humans all over the globe can communicate with each other instantaneously.

    U.S. Department of Energy Announces $34.5 Million for Data Science and Computation Tools to Advance Climate Solutions

    The U.S. Department of Energy (DOE) today announced up to $34.5 million to harness cutting-edge research tools for new scientific discoveries, including clean energy and climate solutions. Two new funding opportunities will support researchers using data science and computation-based methods--including artificial intelligence and machine learning--to tackle basic science challenges, advance clean energy technologies, improve energy efficiency, and predict extreme weather and climate patterns.

    U.S. Department of Energy Announces $30M for Research to Secure Domestic Supply Chain of Critical Elements and Minerals

    The U.S. Department of Energy (DOE) today announced up to $30 million to support scientific research that will ensure American businesses can reliably tap into a domestic supply of critical elements and minerals, such as lithium, cobalt and nickel, needed to produce clean energy technologies.


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    Harvesting Energy from Light using Bio-inspired Artificial Cells

    Harvesting Energy from Light using Bio-inspired Artificial Cells

    Scientists designed and connected two different artificial cells to each other to produce molecules called ATP (adenosine triphosphate).

    Engineering Living Scaffolds for Building Materials

    Engineering Living Scaffolds for Building Materials

    Bone and mollusk shells are composite systems that combine living cells and inorganic components. This allows them to regenerate and change structure while also being very strong and durable. Borrowing from this amazing complexity, researchers have been exploring a new class of materials called engineered living materials (ELMs).

    Excavating Quantum Information Buried in Noise

    Excavating Quantum Information Buried in Noise

    Researchers developed two new methods to assess and remove error in how scientists measure quantum systems. By reducing quantum "noise" - uncertainty inherent to quantum processes - these new methods improve accuracy and precision.

    How Electrons Move in a Catastrophe

    How Electrons Move in a Catastrophe

    Lanthanum strontium manganite (LSMO) is a widely applicable material, from magnetic tunnel junctions to solid oxide fuel cells. However, when it gets thin, its behavior changes for the worse. The reason why was not known. Now, using two theoretical methods, a team determined what happens.

    When Ions and Molecules Cluster

    When Ions and Molecules Cluster

    How an ion behaves when isolated within an analytical instrument can differ from how it behaves in the environment. Now, Xue-Bin Wang at Pacific Northwest National Laboratory devised a way to bring ions and molecules together in clusters to better discover their properties and predict their behavior.

    Tune in to Tetrahedral Superstructures

    Tune in to Tetrahedral Superstructures

    Shape affects how the particles fit together and, in turn, the resulting material. For the first time, a team observed the self-assembly of nanoparticles with tetrahedral shapes.

    Tracing Interstellar Dust Back to the Solar System's Formation

    Tracing Interstellar Dust Back to the Solar System's Formation

    This study is the first to confirm dust particles pre-dating the formation of our solar system. Further study of these materials will enable a deeper understanding of the processes that formed and have since altered them.

    Investigating Materials that Can Go the Distance in Fusion Reactors

    Investigating Materials that Can Go the Distance in Fusion Reactors

    Future fusion reactors will require materials that can withstand extreme operating conditions, including being bombarded by high-energy neutrons at high temperatures. Scientists recently irradiated titanium diboride (TiB2) in the High Flux Isotope Reactor (HFIR) to better understand the effects of fusion neutrons on performance.

    Better 3-D Imaging of Tumors in the Breast with Less Radiation

    Better 3-D Imaging of Tumors in the Breast with Less Radiation

    In breast cancer screening, an imaging technique based on nuclear medicine is currently being used as a successful secondary screening tool alongside mammography to improve the accuracy of the diagnosis. Now, a team is hoping to improve this imaging technique.

    Microbes are Metabolic Specialists

    Microbes are Metabolic Specialists

    Scientists can use genetic information to measure if microbes in the environment can perform specific ecological roles. Researchers recently analyzed the genomes of over 6,000 microbial species.


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